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TASE
2008
IEEE
15 years 6 months ago
Sensor Selection in Arbitrary Dimensions
We address the sensor selection problem which arises in tracking and localization applications. In sensor selection, the goal is to select a small number of sensors whose measureme...
Volkan Isler, Malik Magdon-Ismail
ALGORITHMICA
2000
72views more  ALGORITHMICA 2000»
15 years 6 months ago
Sorting-Based Selection Algorithms for Hypercubic Networks
This paper presents several deterministic algorithms for selecting the kth largest record from a set of n records on any n-node hypercubic network. All of the algorithms are based ...
Pascal Berthomé, Afonso Ferreira, Bruce M. ...
ACIIDS
2010
IEEE
170views Database» more  ACIIDS 2010»
15 years 4 months ago
On the Effectiveness of Gene Selection for Microarray Classification Methods
Microarray data usually contains a high level of noisy gene data, the noisy gene data include incorrect, noise and irrelevant genes. Before Microarray data classification takes pla...
Zhongwei Zhang, Jiuyong Li, Hong Hu, Hong Zhou
ANNPR
2006
Springer
15 years 10 months ago
Fast Training of Linear Programming Support Vector Machines Using Decomposition Techniques
Abstract. Decomposition techniques are used to speed up training support vector machines but for linear programming support vector machines (LP-SVMs) direct implementation of decom...
Yusuke Torii, Shigeo Abe
CVPR
2009
IEEE
17 years 1 months ago
An Instance Selection Approach to Multiple Instance Learning
Multiple-instance Learning (MIL) is a new paradigm of supervised learning that deals with the classification of bags. Each bag is presented as a collection of instances from whi...
Zhouyu Fu (Australian National University), Antoni...